Gaffer vs TypeDB

Both are other databases. Gaffer (2015-12, Apache-2.0, Java) ranks #66 this month; TypeDB (2016, MPL-2.0, Rust) ranks #7. They differ on 23 of 46 surveyed features.

Attribute Gaffer #66 ▼6 Growing TypeDB #7 ▲1 Leader
At a glance
Rank #66#7
Score 44.468.4
GitHub stars 1.8k4.5k
Popularity 57.975.0
Activity 42.875.2
Community 30.363.3
Research —50.0
Fundamentals
Description A graph database framework with pluggable storage backends (Accumulo, HBase, Parquet). Developed by GCHQ for large-scale graph analysis with built-in timestamp management.A polymorphic database that natively models inheritance hierarchies, dependencies, and conceptual schemas using its TypeQL query language. Supports clustering for scalability and a cloud-agnostic deployment model.
Vendor GCHQVaticle
Model OtherOther
Kind query-enginedatabase
Category EstablishedGrowing
First released 2015-122016
Status deprecated — Repository archived by GCHQ; last change June 2025.active
License Apache-2.0MPL-2.0
Written in JavaRust
Query languages Custom APITypeQL
gdotv support nono

Feature scores 23 of 46 rows differ

Feature GafferTypeDB
Community & Business
Active development ✓✓
Commercial support ·✓
Live community ·✓
Open Source ✓✓
Pricing ·✓
Trendiness ·✓
Deployment
Containerization ·✓
Work as dedicated instance ·✓
Work as embedded ··
Testing in-memory version ·✓
Platform
Operating on Linux ✓✓
Operating on Windows ✓✓
SaaS offering ·✓
Operations
Automatic updates ··
Client side caching ··
Data versioning support ··
Live backups ··
Distribution
Cluster Re-balancing ··
Data Distribution ✓·
High-Availability ·✓
Query Distribution ✓✓
Replication support ✓✓
Developer Experience
Data types defined 0.50.5
Logging/Auditing ✓✓
Object-Graph Mapper ✓·
Reactive programming ·✓
Documentation up-to-date ✓✓
Binary protocol ·✓
CLI ·✓
GUI ·✓
Data Model
Multi-database ··
Graph-native data ✓·
REST API ✓·
Query Language ·0.5
Transactions
Granular locking ··
Multiple isolation levels ·0.5
Read committed transaction ·✓
Transaction support ✓✓
Schema & Security
Constraints ·✓
Schema support ✓✓
Secondary indexes ·✓
Server side procedures ··
Triggers ·✓
Authentication ✓✓
Authorization ✓✓
Data encryption ··